Résumé
Modern trauma scoring system tries hard to reflect and evaluate various injury severity and outcome in an objective，accurate and quick manner via digitalization so as to make correct diagnosis and treatment plan. However，current trauma scoring is mainly responsible for predicting death outcome，and it cannot reflect the changes of trauma rehabilitation function outcome in a dynamic way，thus making it difficult to meet clinical demands. In recent years，artificial intelligence technology and big data mining technology are helpful to integrate and analyze a large number of clinical data generated in the process of trauma treatment，and have a great application value for the continuous assessment of the whole trauma process. Such being the case，the authors sum up the research progress of physiology scoring，anatomy scoring，composite scoring of physiology and anatomy，functional scoring and artificial intelligence in trauma evaluation，attempting to provide references for building a new trauma scoring system.